MABU Shingo Last updated: Jan 18, 2020 at 23:35
Name
MABU Shingo Affiliation
Yamaguchi University Section
Graduate School of Science and Engineering Job title
Assistant Professor Degree
Doctor of Engineering(Waseda University), Master of Engineering(Kyushu University) Research funding number
70434321
Academic & Professional Experience
2003
-
2005
Research Fellow of Japan Society for Promotion of Science
2006
-
2007
Visiting Lecturer at Advanced Research Institute for Science and Engineering, Waseda University
2007
- Assistant Professor at Graduate School of Information, Production and Systems, Waseda University
2009
- Assistant Professor at Faculty of Science and Engineering, Waseda University
Education
-
2006
Information, Production and Systems Engineering, Graduate School of Infomation, Production and Systems, Waseda University
-
2003
Department of Electrical and Electronic Systems Engineering, Graduate School of Information Science and Electrical Engineering, Kyushu University
Apr 1997
-
Mar 2001
Electrical Engineering and Computer Science, Faculty of Engineering, Kyushu University
Awards & Honors
Jan 2019
Analysis of the Effects of Transfer Learning on Opacity Classification of Diffuse Lung Diseases Using Convolutional Neural Network, IFMIA Best Paper Award, IFMIA2019
Winner: Ami Atsumo, Shingo Mabu, Shoji Kido, Yasushi Hirano and Takashi Kuremoto
Dec 2016
Learning Embedding Functions for Instance-based Reinforcement Learning with Matching Networks, Best Paper Award, IRE-Asia Consortium
Winner: Nathan R. Cannon, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu
2007
IEEJ Excellent Presentation Award
Sep 2007
IEEJ Excellent Paper Award
Winner: Shingo Mabu
Jan 2015
Best Paper Award at The 2015 International Conference on Artificial Life and Robotics, International Conference on Artificial Life and Robotics
Winner: Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Published Papers
Semi-Supervised Learning for Class Association Rule Mining Using Genetic Network Programming
Shingo Mabu, Takuro Higuchi, Takashi Kuremoto
IEEJ Transactions on Electric and Electronic Engineering (to appear) 2020 [Refereed]
Landslide classification from Synthetic Aperture Radar images using convolutional neural network with multichannel information
Shingo Mabu, Yoshiaki Nakayama, Takashi Kuremoto
Journal of Signal Processing (to appear) 24(2) Mar 2020 [Refereed]
Investigating the Effects of Transfer Learning on ROI-based Classification of Chest CT Images: A Case Study on Diffuse Lung Diseases
Shingo Mabu, Ami Atsumo, Shoji Kido, Takashi Kuremoto, Yasushi Hirano
Journal of Signal Processing Systems (to appear) 2020 [Refereed]
A Segmentation Network with Multi-Attention and Its Application to SAR Image Analysis
Yong An, Jianwu Long, Shingo Mabu
IEEJ Trans. on Electrical and Electronic Engineering (to appear) 2020 [Refereed]
An Improved Fuzzy Neural Network for Reinforcement Learning
Takashi Kuremoto, Hiroki Matsusaka, Masanao Obayashi, Shingo Mabu and Kunikazu Kobayashi
Proc. of The 3rd International Conference on Big Data Research (ICBDR2019) 88-93 Nov 2019 [Refereed]
A Detection Method for Liver Cancer Region Based on Faster R-CNN
Muki Furuzuki, Huimin Lu, Hyoungseop Kim, Yasushi Hirano, Shingo Mabu, Masahiro Tanabe and Shoji Kido
Proc. of 2019 19th International Conference on Control, Automation and Systems (ICCAS2019) 808-811 Oct 2019 [Refereed]
Automatic Classification of Large-Scale Respiratory Sound Dataset Based on Convolutional Neural Network
Koki, Minami, Huimin Lu, Hyoungseop Kim, Shingo Mabu, Yasushi Hirano and Shoji Kido
Proc. of 2019 19th International Conference on Control, Automation and Systems (ICCAS2019) 804-807 Oct 2019 [Refereed]
Disaster Area Detection from Synthetic Aperture Radar Images Using Convolutional Autoencoder and One-class SVM
Shingo Mabu, Kohki Fujita, Takashi Kuremoto
Journal of Robotics, Networking and Artificial Life 6(1) 48-51 Jun 2019 [Refereed]
Clinical Applications of Multidisciplinary Computational Anatomy - Progress Overview FY2014-FY2018 -
Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Shingo Mabu, Hyoungseop Kim, Hirohiko Kimura, Sakon Noriki, Kunihiro Inai, Rie Tachibana
Proceedings of the Fifth International Symposium of the Project "Multidisciplinary Computational Anatomy" 203-212 Mar 2019
Data Enhancement of Deep Learning for Thoracic Imaging
Shoji Kido, Yasushi Hirano, Shingo Mabu
The 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA) Jan 2019 [Refereed]
Unsupervised and Semi-Supervised Learning for Efficient Opacity Annotation of Diffuse Lung Diseases
Shingo Mabu, Shoji Kido, Yasushi Hirano, Takashi Kuremoto
Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019 110501D Mar 2019 [Refereed]
Detection of pulmonary nodules on chest X-ray images using R-CNN
Risa Takemiya, Shoji Kido, Yasushi Hirano, Shingo Mabu
Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019 110500W Mar 2019 [Refereed]
Analysis of the effects of transfer learning on opacity classification of diffuse lung diseases using convolutional neural network
Ami Atsumo, Shingo Mabu, Shoji Kido, Yasushi Hirano, Takashi Kuremoto
Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019 1105017 Mar 2019 [Refereed]
Automatic Classification of Respiratory Sounds Based on Time-Frequency Analysis and Convolutional Neural Network
Koki Minami, Huimin Lu, Hyounseop Kim, Yasushi Hirano, Shingo Mabu, Shoji Kido
Medical Imaging Technology (to appear) 2019 [Refereed]
Unsupervised Image Classification Using Multi-Autoencoder and K-means++
Shingo Mabu, Kyoichiro Kobayashi, Masanao Obayashi, Takashi Kuremoto
Journal of Robotics, Networking and Artificial Life 5(1) 75-78 Jun 2018 [Refereed]
Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information
Shingo Mabu, Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Takashi Kuremoto
Proc. SPIE Medical Imaging 2018: Computer-Aided Diagnosis 10575(34) 1-6 Feb 2018 [Refereed]
Anomaly Detection of Disaster Areas from Satellite Images Using Convolutional Autoencoder and One-class SVM
Kohki Fujita, Shingo Mabu, Takashi Kuremoto
Proceedings of the 2018 International Conference on Artificial Life and Robotics (ICAROB2018) Feb 2018 [Refereed]
Unsupervised Image Classification Using Multi-Autoencoder and K-means++
Shingo Mabu, Kyoichiro Kobayashi, Masanao Obayashi, Takashi Kuremoto
Proceedings of the 2018 International Conference on Artificial Life and Robotics (ICAROB2018) Feb 2018 [Refereed]
A Visual System of Citrus Picking Robot Using Convolutional Neural Networks
Yan-Ping Liu, Chang-Hui Yang, Huang Ling, Shingo Mabu, and Takashi Kuremoto
The 2018 5th International Conference on Systems and Informatics 329-332 Nov 2018 [Refereed]
Shanqing Yu, Deng Zhang, Shingo Mabu, Jinyin Chen, Kotaro Hirasawa
Applied Soft Computing Journal 61 757-764 Dec 2017
A Rule-Based Classification System Enhanced by Multi-Objective Genetic Algorithm
Shingo Mabu, Kenzoh Azakami, Masanao Obayashi, Takashi Kuremoto
Journal of Robotics, Networking and Artificial Life 4(3) 239-242 Dec 2017 [Refereed]
A Sentence Summarizer using Recurrent Neural Network and Attention-Based Encoder
Takashi Kuremoto, Takuji Tsuruda, Shingo Mabu and Masanao Obayashi
Advanced in Intelligent Systems Research 153 245-248 Nov 2017 [Refereed]
Wirarama Wedashwara, Shingo Mabu, Candra Ahmadi
2017 5th International Conference on Cyber and IT Service Management, CITSM 2017 Oct 2017
Clinical Applications of Multidisciplinary Computational Anatomy
Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Shingo Mabu, Hyoungseop Kim, Hirohiko Kimura, Sakon Noriki, Kunihiro Inai
Proc. of the Third International Symposium on the Project "Multidisciplinary Computational Anatomy" 155-161 Mar 2017
Leader-Follower Adaptive Formation Control without Observation of Agent's Velocity Using Wavelet Neural Network
Masanao Obayashi, Takeshi Aridome, Takashi Kuremoto, Shingo Mabu
2017 9th International Conference on Machine Learning and Computing (ICMLC2017) C083 Feb 2017 [Refereed]
An Experimental Comparison of Deep Belief Nets with Different Learning Methods
Takashi Kuremoto, Shintaro Tokuda, Takaomi Hirata, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
2017 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'17) 637-640 Feb 2017 [Refereed]
Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning
Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Proc. of the 2017 International Conference on Artificial Life and Robotics (ICAROB2017) 658-661 Jan 2017 [Refereed]
A Method of Feature Extraction for EEG Signals Recognition Using ROC Curve
Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Proc. of the 2017 International Conference on Artificial Life and Robotics (ICAROB2017) 654-657 Jan 2017 [Refereed]
A Rule-Based Classification System Enhanced by Multi-Objective Genetic Algorithm
Kenzoh Azakami, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Proc. of the 2017 International Conference on Artificial Life and Robotics (ICAROB2017) 650-653 Jan 2017 [Refereed]
Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Noriaki Hashimoto, Yasushi Hirano, Shoji Kido
International Journal of Computer Assisted Radiology and Surgery 12(3) 519-528 2017 [Refereed]
RP-AG-SOM: A Growing Self-Organizing Map with Asymmetric Neighborhood Function and Variable Radius
Takashi Kuremoto, Yuya Kuzukami, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
SAI Intelligent Systems Conference 245-252 Sep 2016 [Refereed]
Shingo Mabu, Shun Gotoh, Masanao Obayashi, Takashi Kuremoto
Artificial Life and Robotics 21(3) 371-377 Sep 2016 [Refereed]
An Optimization of Spatio-Spectral Filter Bank Design for EEG Classification
Masanao Obayashi, Takuya Geshi, Takashi Kuremoto, Shingo Mabu
Journal of Robotics, Networking and Artificial Life 2(4) 217-220 Mar 2016 [Refereed]
Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
IEEJ Transactions on Electronics, Information and Systems 136(3) 348-356 Mar 2016 [Refereed]
Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Expert Systems with Applications 46 15-23 Mar 2016 [Refereed]
An Evolutionary Algorithm for Making Desicion Graphs for Classification Problems
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Proc. of the 2016 International Conference on Artificial Life and Robotics 458-462 Jan 2016 [Refereed]
An Optimization of Spatio-Spectral Filter Bank Design for EEG Signal Classification
Masanao Obayashi, Takuya Geshi, Takashi Kuremoto, Shingo Mabu
Proc. of the 2016 International Conference on Artificial Life and Robotics 397-400 Jan 2016 [Refereed]
Evolutionary Rule Based Clustering with Fuzzy Feature Selection for High Dimensional Database
Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
The Twenty-First International Symposium on Artificial Life and Robotics 142-147 Jan 2016 [Refereed]
An Intrusion Detection System Using Random Forests Based on Class Association Rules
Shun Gotoh, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
The Twenty-First International Symposium on Artificial Life and Robotics 148-153 Jan 2016 [Refereed]
Efficient Reinforcement Learning Using an Adaptive Control of Meta-parameters Based on a Markov Emotional Model
Shogo Wadata, Masanao Obayashi, Takashi Kuremoto, Shingo Mabu
The Twenty-First International Symposium on Artificial Life and Robotics 14-19 Jan 2016 [Refereed]
A Method of Feature Extraction for EEG Signal Recognition
Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Innovative Application Research and Education 2015 67-69 Dec 2015 [Refereed]
An Extended Q Learning System with Emotion State to Make Up and Agent with Individuality
Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
Proceedings of the 7th International Joint Conference on Computational Intelligence 3 70-78 Nov 2015 [Refereed]
Masanao Obayashi, Taiki Yamane, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
International Conference on Neural Information Processing 2015, Part I, LNCS 9489 272-282 Nov 2015 [Refereed]
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Applied Soft Computing 36 357-367 Nov 2015 [Refereed]
Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
2015 International Conference on Computer Application Technologies 24-29 Aug 2015 [Refereed]
Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
SICE Annual Conference 2015 353-358 Jul 2015 [Refereed]
A Class Association Rule Based Classifier Using Probability Density Functions for Intrusion Detection Systems
Shingo Mabu, Wenjing Li, Kotaro Hirasawa
Journal of Advanced Computational Intelligence and Intelligent Informatics 19(4) 555-566 Jul 2015 [Refereed]
Online Rule Updating System Using Evolutionary Computation for Managing Distributed Database
Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Journal of Robotics, Networks and Artificial Life 2(2) 73-78 Jul 2015 [Refereed]
Wirarama Wedashwara, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
4th International Congress on Advanced Applied Informatics 517-522 Jul 2015 [Refereed]
Reinforcement Learning with Symbiotic Relationships for Multiagent Environments
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
Journal of Robotics, Networks and Artificial Life 2(1) 40-45 Apr 2015 [Refereed]
Misc
Effective learning methods on a small number of training data
Shingo Mabu
Clinical Imagiology 34(10) 1157-1168 Oct 2019 [Invited]
間普真吾, 平澤宏太郎
システム/制御/情報 55(11) 480-485 Nov 2011
S. Mabu, Ci Chen, N. Lu, K. Shimada and K. Hirasawa
IEEE Trans. on Systems, Man, and Cybernetics, Part C 2010
Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa and Jinglu Hu
Applied Soft Computing 9(1) 393-403 2009
Genetic Network Programming for Automatic Program Generation
Shingo Mabu, Kotaro Hirasawa, Yuko Matsuya and Jinglu Hu
Journal of Advanced Computational Intelligence and Intelligent Informatics 9(4) 430-436 2005
Evolving Plural Programs Using Genetic Network Programming with Multi-Start Nodes
Shingo Mabu and Kotaro Hirasawa
Proc. of IEEE International Conference on Systems, Man, and Cybernetics 1419-1424 2009
S. Mabu, K. Hirasawa, J. Hu and J. Murata
Proc. of IEEE Congress on Evolutionary Computation 2002 321-326 2002
Books etc
Deep Learning in Healthcare. Intelligent Systems Reference Library, vol. 171
Shingo Mabu, Shoji Kido, Yasushi Hirano, Takashi Kuremoto (Part:Contributor, Opacity Labeling of Diffuse Lung Diseases in CT Images Using Unsupervised and Semi-supervised Learning, pp. 165-179)
Springer, Cham 2020
Time Series Analysis
Takashi Kuremoto, Takamomi Hirata, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi (Part:Joint Work, Chapter: Training Deep Neural Networks with Reinforcement Learning for Time Series Forecasting)
IntechOpan Apr 2019
Conference Activities & Talks
Computer Aided Diagnosis for Chest CT Images Using Deep Learning [Invited]
Shingo Mabu
Invited Lecture (International School of Information Science and Engineering, Dalian University of Technology) 23 Oct 2019
Automatic Classification of Respiratory Sounds Based on Time-Frequency Analysis and Convolutional Neural Network
Koki Minami, Huimin Lu, Hyounseop Kim, Yasushi Hirano, Shingo Mabu, Shoji Kido
JAMIT Annual Meeting 2019 24 Jul 2019
Domain Transformation of Chest CT Images Using Cycle GAN ang Its Application to Classification Systems
Masashi Miyake, Shingo Mabu, Shoji Kido, Takashi Kuremoto, Yasushi Hirano
JAMIT Annual Meeting 2019 24 Jul 2019
Research trend of deep learning and its applications [Invited]
MABU Shingo
26 Apr 2019
Landslide Area Detection by U-net with Convolutional Autoencoder Using SAR image ans Land Information
Daisuke Ueda, Shingo Mabu, Takashi Kuremoto
9 Mar 2019
Lung sound classifier using deep learning
Shingo Mabu, Ryosuke Wakamoto, Shoji Kido, Takashi Kuremoto, Yasushi Hirano
26 Jan 2019
Landslide Region Detection by Deep Learning with SAR images and Land Information
Daisuke Ueda, Shingo Mabu, Takashi Kuremoto
SICE Symposium on Systems, and Information, 2018 26 Nov 2018
Lung Sound Classification Using Convolutional Neural Network
Ryosuke Wakamoto, Shingo Mabu, Shoji Kido, Takashi Kuremoto, Yasushi Hirano, Takeo Kawamura
SICE Symposium on Systems, and Information, 2018 26 Nov 2018
Driving Data Analysis of Hybrid Cars Using Genetic Network Programming
Soichiro Hirata, Shingo Mabu, Minoru Miyakoshi, Shingo Harada, Yasuhide, Yano
SICE Symposium on Systems, and Information, 2018 26 Nov 2018
Building Classifiers by Semi-supervised Data Mining Using Genetic Network Programming
Takuro Higuchi, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
SICE Symposium on Systems, and Information, 2018 26 Nov 2018
Fundamentals and Aaplications of AI - Deep Learning Algorithms and their Applications - [Invited]
MABU Shingo
20 Aug 2018
Machine Learning of Medical Images [Invited]
Shingo Mabu, Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Takashi Kuremoto
The 57th Annual Conference of Japanese Society for Medical and Biological Engineering 21 Jun 2018
Deep learning and radiomics: From the viewpoint of machine learning theories [Invited]
Shingo Mabu
The 57th Annual Conference of Japanese Society for Medical and Biological Engineering 20 Jun 2018
Opacity Annotation of Diffuse Lung Diseases Using Convolutional Neural Network and SVM
Takuro HIguchi, Shingo Mabu, Noriaki Hashimoto, Shoji Kido, Yasushi Hirano, Kenji Kondo , Jun Ozawa
The 32nd Annual Conference of the Japanese Society for Artificial Intelligence 8 Jun 2018
Landslide Detection Using CNN with SAR Images before/after the Disaster and DEM
Daisuke Ueda, Shingo Mabu, Takashi Kuremoto
The 32nd Annual Conference of the Japanese Society for Artificial Intelligence 5 Jun 2018
Comparison of extraction of diffuse ling disease areas using CNN, FCN and U-Net
Kanako Murakami, Noriaki Hashimoto, Shoji Kido, Yasushi Hirano, Shingo Mabu, Kenji Kondo, Jun Ozawa
The 32nd Annual Conference of the Japanese Society for Artificial Intelligence 4 Jun 2018
Ensemble Learning Classifier Using Semi-Supervised Data Mining
Takuro Higuchi, Shingo Mabu, Masanao Obayashi, Takashi Kuremoto
The 2017 (68th) Chugoku-branch Joint Convention of Institutes of Electrical and Information Engineers 21 Oct 2017 Chugoku-branch of Insititutes of Electrical and Information Engineers
Applications of big data analysis using machine learning [Invited]
Shingo Mabu
IEEE SMC Hiroshima Chapter, Special Lecture 25 Sep 2017 IEEE SMC Hiroshima Chapter
An Investigation of EEG Signal Discrimination Methods with Artificial Neural Networks and Support Vector Machine
Takashi Kuremoto, Takaaki Sasaki, Shingo Mabu
5 Sep 2018
Iterative Semi-Supervised Learning for Automatic Annotation of Diffuse Lung Diseases Using Deep Autoencoder and SVM
Shingo Mabu, Noriaki Hashimoto, Shoji Kido, Masanao Obayashi, Takashi Kuremoto
Computer Assisted Radiology and Surgery, 32nd International Congress and Exhibition 20 Jun 2017 Computer Assisted Radiology and Surgery
Works
Japan Science and technology Agency, Research for Promoting Technological Seeds "Research on Trading Systems on Stock Margets Using Genetic Network Programming"
2007 - 2007
Research Grants & Projects
JAXA: Joint research
Project Year: Nov 2019 - Mar 2022 Investigator(s): Kazuya Okamoto
JSPS: JSPS KAKENHI Grant-in-Aid for Scientific Research (C)
Project Year: Apr 2019 - Mar 2022 Investigator(s): MABU Shingo
Knowledge discovery by genetic network programming and its application
Grant-in-Aid for Scientific Research
Project Year: 2009 - 2012
